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Albert & Karan joined us to talk state space models. They are the authors of the seminal S4 paper, Albert is the main author of thee Mamba paper - and together they're pioneering the SSM research and competing against transformer supremacy! :)

Recently they posted super cool demos demonstrating just how much more real-time these models are compared to the baselines.

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⌚️ Timetable:
00:00:00 - 00:01:56 Intro
00:01:56 - 00:03:37 Hyperstack GPUs! (sponsored)
00:03:37 - 00:09:45 Cartesia AI, real-time intelligence
00:09:45 - 00:12:05 text-to-speech demo
00:12:05 - 00:36:35 state space models (SSMs)
00:36:35 - 00:38:30 bitter lessons transformers vs SSMs
00:38:30 - 00:41:30 free lunch? what are the actual tradeoffs?
00:41:30 - 00:42:55 Computing SSMs convolutionally
00:42:55 - 00:50:00 What is the state (RNNs, Attention, Conv, Neural ODEs)
00:50:00 - 00:55:30 Mamba 2, discrete vs continuous spectrum
00:55:30 - 01:03:39 Q&A: scaling laws

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Huge thank you to these AI Epiphany patreons:
Eli Mahler
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